Skip to content

AmazingAng/VER

 
 

Repository files navigation

Valuable Experience Replay (VER)

This repository contains code from a under-reviewed paper of ICML 2021: Revisiting Prioritized Experience Replay: A Value Perspective. Codes are written in python 3, and provided in jupyter notebook format (.ipynb).

Code for Figure 1: Results of Q-learning and soft Q-learning in Maze

Q-learning: maze_q_learning.ipynb

soft Q-learning: maze_soft_q_learning.ipynb

Code for Figure 2: Results of DQN and soft DQN in CartPole

DQN: cartpole_dqn.ipynb

soft DQN: cartpole_soft_dqn.ipynb

Code for Figure 3: Valuable Experience Replay (VER) in Atari game

SoftDQN_VER_Seaquest.ipynb

About

Code of Revisiting Prioritized Experience Replay: A Value Perspective

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 95.3%
  • Python 4.7%